gitchangelog
Changelog CI
gitchangelog | Changelog CI | |
---|---|---|
2 | - | |
576 | 124 | |
- | - | |
0.0 | 5.2 | |
almost 2 years ago | 9 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gitchangelog
-
📓 Versionner et builder l'eBook de son Entretien Annuel d'Evaluation sur Git(Hub)
gitchangelog : Use your commit log to make beautifull and configurable changelog file
-
Back to bash: Quoting
One notable thing to point out here is the irregular behavior of escaping !. When escaped, the backslash is maintained! As an example, consider creating a git commit that follows the default formatting guidelines of gitchangelog
Changelog CI
We haven't tracked posts mentioning Changelog CI yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
releasezri - Meaningful and minimalist release notes for developers
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
gnv - An automation CLI tool to controls most of the features of GitHub in an automated look
restless - A lightweight REST miniframework for Python.
Poetry - Python packaging and dependency management made easy
hug - Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
versioningit - Versioning It with your Version In Git
django-tastypie - Creating delicious APIs for Django apps since 2010.
Pipenv - Python Development Workflow for Humans.
ripozo - A tool for quickly creating REST/HATEOAS/Hypermedia APIs in python
palm-cli - Palm CLI - the tool-belt for data teams
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.